Energy Harvesting from the Beating Heart by a Mass Imbalance Oscillation Generator
- 1.6k Downloads
Energy-harvesting devices attract wide interest as power supplies of today’s medical implants. Their long lifetime will spare patients from repeated surgical interventions. They also offer the opportunity to further miniaturize existing implants such as pacemakers, defibrillators or recorders of bio signals. A mass imbalance oscillation generator, which consists of a clockwork from a commercially available automatic wrist watch, was used as energy harvesting device to convert the kinetic energy from the cardiac wall motion to electrical energy. An MRI-based motion analysis of the left ventricle revealed basal regions to be energetically most favorable for the rotating unbalance of our harvester. A mathematical model was developed as a tool for optimizing the device’s configuration. The model was validated by an in vitro experiment where an arm robot accelerated the harvesting device by reproducing the cardiac motion. Furthermore, in an in vivo experiment, the device was affixed onto a sheep heart for 1 h. The generated power in both experiments—in vitro (30 μW) and in vivo (16.7 μW)—is sufficient to power modern pacemakers.
KeywordsScavenging Automatic power-generating system Power supplies Cardiac wall motion MRI Unbalance Wrist watch
The authors would like to thank the School of Life Sciences at the University of Applied Sciences Northwestern Switzerland and the Bern University Hospital for facilitating the in vitro and in vivo experiment, respectively. The research was supported by the Department of Cardiology at the Bern University Hospital and the Commission for Technology and Innovation (KTI-CTI 12589.1 PFLS-LS).
- 3.Dankert, J., and H. Dankert. Technische Mechanik: Statik, Festigkeitslehre, Kinematik/Kinetik. Stuttgart: Teubner, 776 pp, 2009.Google Scholar
- 5.Geigy Scientific Tables, Vol. 5: Heart and Circulation. West Caldwell, NJ: Ciba Pharmaceutical Co, 1991, 278 pp.Google Scholar
- 15.Reymondin, C.-A. Theorie der Uhrmacherei. Lausanne: CADEV, 2001.Google Scholar
- 17.Rutz, A. K., R. Manka, S. Kozerke, S. Roas, P. Boesiger, and J. Schwitter. Left ventricular dyssynchrony in patients with left bundle branch block and patients after myocardial infarction: integration of mechanics and viability by cardiac magnetic resonance. Eur. Heart J. 30:2117–2127, 2009.PubMedCrossRefGoogle Scholar
- 21.Stuber, M., S. Fischer, M. Scheidegger, and P. Boesiger. Slice Following in Cardiac Imaging with Optimized RF Pulse Angles, New York, 1993.Google Scholar
- 23.Thanassoulis, G., J. M. Massaro, U. Hoffmann, A. A. Mahabadi, R. S. Vasan, C. J. O’Donnell, and C. S. Fox. Prevalence, distribution, and risk factor correlates of high pericardial and intrathoracic fat depots in the Framingham heart study. Circ. Cardiovasc. Imaging 3:559–566, 2010.PubMedCrossRefGoogle Scholar
- 25.Wischke, M., M. Masur, F. Goldschmidtboeing, and P. Woias. Piezoelectrically tunable electromagnetic vibration harvester, 2010. doi: 10.1109/MEMSYS.2010.5442427.